Engineering Group Manager, AI and Machine Learning

Job Description

Hybrid: This means the successful candidate is expected to report to their primary location (Milford MI) three times per week at minimum.

Relocation:

This job may be eligible for relocation benefits.

The Role:

Join GMsVehicle Mechatronic Embedded Controls (VMEC)team within theSoftware and Servicesorganization where we develop and release control software and calibrations that drive the entire vehicle. From internal combustion engines and hybrid drive units to high-voltage batteries and chassis systems our mission is to invent cutting-edge methods to control the worlds most advanced mechatronic systems.

We are seeking adynamic and experienced Engineering Group Managerto lead a team focused onArtificial Intelligence (AI)andMachine Learning (ML)solutions for vehicle motion control and this role you will oversee the design implementation and optimization of AI/ML-based systems ensuring they meet performance scalability and reliability standards. You will also foster a collaborative agile environment that empowers innovation and growth. This team works cross-functionally with embedded controls systems product and program teams to deliver high-quality solutions that support GMs revenue-generating portfolio and accelerate our transition to an all-electric future. As a people leader you will shape strategic initiatives that align with GMs transformation from an automaker to a tech-driven company.

What Youll do:

• Lead the development and deployment of AI/ML technologies for GMs vehicle motion control and estimation.
• Collaborate with cross-functional teams including control engineers software developers calibrators and business stakeholders to define project requirements and ensure successful execution.
• Ensure the timely delivery of projects by monitoring progress addressing roadblocks and implementing agile methodologies improve speed quality and safety across development cycles.
• Provide technical guidance and mentorship to engineers and foster a culture of continuous learning and professional growth.
• Stay abreast of emerging technologies and trends in AI/ML recommending innovative approaches to enhance our designs.
• Define system architecture and design incorporating best practices and industry standards to create robust and maintainable systems.
• Communicate project status risks and opportunities to senior leadership.
• Partner with other departments to promote AI/ML adoption across the organization.
• Manage resource planning and team development.
• Model and foster GMs Core Values and Winning Behaviors

Your Skills & Abilities (Required Qualifications)

• Bachelor of Science degree in Mechanical Engineering Electrical Engineering Computer Science Computer Engineering Mathematics or a related technical degree
• Minimum of 7 years of professional engineering/technical experience
• Minimum of 5 years of engineering experience related to AI/ML control systems embedded control system and/or safety critical system development
• Strong knowledge of AI/ML concepts frameworks and applications in software development.
• Experience with common machine learning libraries and frameworks.
• Familiarity with deep learning techniques neural networks and natural language processing.
• Solid understanding of computer programming languages such as Python Java C etc.
• Demonstrated technical background in chassis controls and/or vehicle dynamics
• Proven track record of successful project execution
• Excellent multi-functional communication and leadership skills - able to get multiple teams moving in the same direction
• Demonstrated ability to deal with ambiguity while driving timely decision making
• Possess a valid drivers license and the ability to operate test vehicles

What Will Give You A Competitive Edge (Preferred Skills)

• Master of Science in Engineering and/or Master of Business Administration
• Master of Science in Electrical Computer Mechanical Mechatronic Aerospace Systems or Software Engineering with emphasis in AI/ML Controls or Robotics
• Experience in chassis controls development
• Leadership experience developing or applying industry standards
• Experience with safety compliance of embedded systems
• Leadership of teams of engineers responsible for developing or testing embedded control systems or related hardware in an agile environment
• Demonstrated ability to: achieve results through effective teamwork lead numerous projects with different focal areas to successful completion and manage and measure work through metrics data and results
• Experience managing a geographically dispersed global team
• Familiarity with embedded controls development tools (e.g. IBM Rational Tool Suite Jira/Jama Git ecosystem MATLAB-Simulink ETAS)

Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible to participate in a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

About GM

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Benefits Overview

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